Trial reportMedical decision making : an international journal of the Society for Medical Decision Making2017
Impact and Feasibility of Personalized Decision Support for Older Patients with Diabetes: A Pilot Randomized Trial.
Trial report in Medical decision making : an international journal of the Society for Medical Decision Making, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02169999 (Personalized Decision Support for Older Patients With Diabetes), which is not on this map. Cited by 11 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Personalized Decision Support for Older Patients With Diabetes
Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Decision aids for people facing health treatment or screening decisions.The Cochrane database of systematic reviews · 2024Pooled it
- Decision aids that facilitate elements of shared decision making in chronic illnesses: a systematic review.Systematic reviews · 2019Pooled it
- Prevalence and predictors of decisional conflict among older African Americans with advanced chronic kidney disease.Innovation in aging · 2026Article
- Patient-physician communication of health and risk information in the management of cardiovascular diseases and diabetes: a systematic scoping review.BMC medicine · 2025Article
- Benefits of Clinical Decision Support Systems for the Management of Noncommunicable Chronic Diseases: Targeted Literature Review.Interactive journal of medical research · 2024Review
- A nurse driven care management program to engage older diabetes patients in personalized goal setting and disease management.Health science reports · 2024Article
- Diabetes Life Expectancy Prediction Model Inputs and Results From Patient Surveys Compared With Electronic Health Record Abstraction: Survey Study.JMIR aging · 2023Article
- Patient Portals as Facilitators of Engagement in Patients With Diabetes and Chronic Heart Disease: Scoping Review of Usage and Usability.Journal of medical Internet research · 2023Article
- Continuous Glucose Monitoring and Other Wearable Devices to Assess Hypoglycemia among Older Adult Outpatients with Diabetes Mellitus.Applied clinical informatics · 2023Article
- Approaches to Risk Assessment Among Older Patients With Diabetes.Current diabetes reports · 2019Review
- Use of large-scale HRQoL datasets to generate individualised predictions and inform patients about the likely benefit of surgery.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundDiabetes guidelines recommend individualizing glycemic goals (A1C) for older patients. The aim of this study was to assess a personalized Web-based decision support tool.
methodsWe randomized physicians and their patients with type 2 diabetes (≥65 years of age) to a support tool or educational pamphlet (75:25 patients). Prior to a visit, intervention patients interacted with the tool, which provided personalized risk predictions and elicited treatment preferences. Main outcomes included 1) patient-doctor communication, 2) decisional conflict, 3) changes in goals, and 4) intervention acceptability.
resultsWe did not find significant differences in proportions of patients who had an A1C discussion (91% intervention v. 76% control; P = 0.19). Intervention patients had larger declines in the informed subscale of decisional conflict (-20 v. 0, respectively; P = 0.04). There were no significant differences in proportions of patients with changes in goals (49% v. 28%, respectively; P = 0.08). Most intervention patients reported that the tool was easy to use (91%) and helped them to communicate (84%). A limitation was that this was a pilot trial at one academic institution.
conclusionsWeb-based decision support tools may be a practical approach to facilitating the personalization of goals for chronic conditions.
trial registrationNCT02169999 ( https://clinicaltrials.gov/show/NCT02169999 ).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.